Vino Duraisamy
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- Snowflake Summit
- AI By the Bay
- Data Council
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jun 1, 2026 | Snowflake Summit 26 | Snowflake Summit | workshop | Power Analytics and AI Wherever Your Data Lives as Snowflake Connect to Apache Iceberg tables in AWS S3 via Catalog Linked Databases with zero data movement. Register existing AWS Glue catalogs in seconds, making external…Show lessConnect to Apache Iceberg tables in AWS S3 via Catalog Linked Databases with zero data movement. Register existing AWS Glue catalogs in seconds, making external tables instantly discoverable and queryable. With support for Apache Iceberg V3 tables, Snowflake supports the VARIANT data type, enabling efficient storage and querying of semi-structured data. Apply Snowflake Horizon governance including RBAC and dynamic masking policies to your Iceberg tables. Then leverage Snowflake CoWork to ask natural language questions against your lakehouse with AI-generated verifiable SQL at enterprise scale. | |
| Nov 17, 2025 | AI By the Bay 2025 | AI By the Bay | speaker | Donut Kill My Vibe: Enriching RAG with Apache Iceberg for Sweet, Structured Retrieval as Snowflake | Video |
| Jun 2, 2025 | Snowflake Summit 2025 | Snowflake Summit | speaker | Architecting Scalable AI Applications: Under the Hood as Snowflake From model development to deployment, scaling AI applications requires a deep understanding of data pipelines, infrastructure and software engineering best…Show lessFrom model development to deployment, scaling AI applications requires a deep understanding of data pipelines, infrastructure and software engineering best practices. Join our panel of data scientists, data engineers and developers as they break down real-world AI workflows, discuss challenges like model drift and latency, and explore how to optimize AI systems for performance, efficiency and cost-effectiveness. | |
| Mar 28, 2023 | Data Council Austin '23 | Data Council | talk | Building an ML Experimentation Platform for Easy Reproducibility ML & MLOps as Treeverse |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Barry McCardel | 3 | — | 2026 |
| Ian Whitestone | 3 | — | 2026 |
| Abhinav Vadrevu | 2 | — | 2026 |
| Abhishek Narang | 2 | — | 2026 |
| Abhro Bhaduri | 2 | — | 2026 |
| Alice Leach | 2 | — | 2026 |
| Allie Feras | 2 | — | 2026 |
| Amit Gupta | 2 | — | 2026 |
| Amit Patel | 2 | — | 2026 |
| Anahita Tafvizi | 2 | — | 2026 |
| Andrew Evans | 2 | — | 2026 |
| Ankit Gupta | 2 | — | 2026 |
| Ankit Singh | 2 | — | 2026 |
| Anthony Rotio | 2 | — | 2026 |
| Anupam Datta | 2 | — | 2026 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.